| 书目名称 | Data Organization in Parallel Computers |
| 编辑 | Harry A. G. Wijshoff |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | The organization of data is clearly of great importance in the design of high performance algorithms and architectures. Although there are several landmark papers on this subject, no comprehensive treatment has appeared. This monograph is intended to fill that gap. We introduce a model of computation for parallel computer architec tures, by which we are able to express the intrinsic complexity of data or ganization for specific architectures. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC 205 and CRAY vector-computers, and the MPP binary array processor. The study of data organization in parallel computations was introduced as early as 1970. During the development of the ILLIAC IV system there was a need for a theory of possible data arrangements in interleaved mem ory systems. The resulting theory dealt primarily with storage schemes also called skewing schemes for 2-dimensional matrices, i.e., mappings from a- dimensional array to a number of memory banks. By means of the model of computation we are able to apply the theory of skewing schemes to var ious kinds of parallel computer architectures. This results in a number o |
| 出版日期 | Book 1989 |
| 关键词 | Scheme; algorithms; architecture; computer architecture; organization; parallel computation; parallel proc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4613-1711-1 |
| isbn_softcover | 978-1-4612-8964-7 |
| isbn_ebook | 978-1-4613-1711-1Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Kluwer Academic Publishers 1989 |
发表于 2025-3-21 17:42:44
